Miguel Vargas

P DSL Rockies

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKCOL	11	3	22	5.82	6.19	14.7%	14.7%	—	K 10.0% · BB 18.4% · FIP 7.60
2027PROJ	18	MLBCOL	12	0	13	5.48	5.48	19.5%	15.5%	-0.1
2028PROJ49% MLB	19	MLBCOL	10	0	10	5.21	5.11	20.5%	13.5%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsWill Kobos (age 20) · Raimon Gomez (age 19) · Anthony Cruz (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.48

FIP5.48

K%19.5%

BB%15.5%

K-BB%4.1%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†4550

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2026	17	ROK MLE	DSL Rockies	11	3	22	102	15	15	4	27%	2.0	10.0%	18.4%	-8.4%	5.5%	5.82	7.60	—
2026	17	ROK MLE	DSL Rockies	11	3	22	102	15	15	4	27%	2.0	10.0%	18.4%	-8.4%	5.5%	5.82	7.60	—
2026	17	ROK RAW	DSL Rockies	11	3	22	102	15	15	4	27%	2.0	14.7%	14.7%	0.0%	3.9%	5.82	6.19	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	COL	12	0	13	55	11	8	2	0%	1.1	19.5%	15.5%	4.1%	3.1%	5.48	5.48	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	COL	20	0	20	87	18	12	3	0%	1.0	20.5%	13.5%	7.0%	3.0%	5.21	5.11	-0.1
2028	19	MLB CTX	COL	10	0	10	42	9	6	1	0%	1.0	20.5%	13.5%	7.0%	3.0%	5.21	5.11	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	43	9	6	1	0%	1.0	20.5%	13.5%	7.0%	3.0%	5.21	4.73	-0.0
/ 200 IP	—	RAW		190	0	200	844	179	119	20	0%	1.1	20.5%	13.5%	7.0%	3.0%	5.21	4.73	-0.4
Career	—	MLE		11	3	22	102	10	19	6	27%	2.0	10.0%	18.4%	-8.4%	5.5%	5.82	7.60	-0.1
/ 200 IP	—	MLE		102	28	200	942	94	173	52	27%	2.0	10.0%	18.4%	-8.4%	5.5%	5.82	7.60	-1.3

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Miguel Vargas (OGILVIE)	—	—	5.48	19.5%	15.5%	3.1%	—	5.11	20.5%	7.0%	20	-0.37	—	—	—
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	87
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	85
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	85
Ernesto Jaquez R 2017 · 4.99 FIP	18	SW	4.99	18.4%	16.9%	2.4%	.265	2.56	24.8%	15.7%	53	-2.43	2.56	239	84
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	83
Yimi Presinal R 2023 · 4.75 FIP	18	SW	4.75	20.2%	15.0%	2.7%	.326	4.71	20.8%	4.6%	92	-0.04	3.62	157	83
Edinzo Marquez R 2022 · 4.97 FIP	17	SW	4.97	20.5%	18.9%	2.2%	.250	3.90	13.2%	0.4%	119	-1.07	3.26	188	83
Luis A. Reyes R 2022 · 4.89 FIP	18	SW	4.89	17.7%	14.5%	2.6%	.422	6.15	14.4%	-12.8%	81	+1.26	4.89	123	83
Joseph Hernandez R 2018 · 5.37 FIP	18	SW	5.37	15.6%	15.0%	3.1%	.296	4.39	24.7%	8.0%	31	-0.98	4.39	260	81
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	81
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	81
Juan Burgos R 2019 · 4.75 FIP	19	SW	4.75	15.4%	13.5%	2.3%	.292	4.38	17.7%	0.8%	58	-0.37	3.50	284	80
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	80
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	80
Eliazar Dishmey R 2023 · 6.05 FIP	18	SW	6.05	17.9%	15.1%	4.6%	.302	3.83	21.9%	9.2%	268	-2.22	3.40	311	79
Odalvi Javier R 2015 · 5.37 FIP	18	SU	5.37	14.4%	13.2%	3.3%	.357	4.57	15.0%	4.3%	234	-0.80	2.95	578	79
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	78
Felix Arronde R 2021 · 4.51 FIP	18	SW	4.51	14.3%	15.4%	1.2%	.333	4.33	18.6%	9.0%	184	-0.18	4.16	442	77
Victor Espiritu R 2024 · 4.45 FIP	19	SW	4.45	14.6%	12.7%	1.8%	.294	4.04	13.5%	1.8%	60	-0.41	3.49	101	77
Randel Clemente R 2021 · 5.99 FIP	19	SW	5.99	14.3%	21.7%	2.4%	.270	4.60	21.8%	-1.8%	88	-1.39	3.74	214	77